Massachusetts Institute Of Technology Patent Portfolio Statistics

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Massachusetts Institute Of Technology

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This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Massachusetts Institute Of Technology look like?

Assignee Art Units
Total Applications: 8,355 2,201,722
Granted Patents: 5,216 1,290,173
Grant Index 76.53% ↑ 72.05%
Abandoned/Rejected Applications: 1,600 (23.47%) 500,375 (27.95%)
In-Process Applications: 1,515 411,174
Average Grant Time: 3.14 Years ↑ 2.72 Years
Average Office Actions: 1.87 ↑ 1.59

Which Technology Area Massachusetts Institute Of Technology is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
Opap Parked GAU 350
1636 Molecular Biology, Bioinformatics, Nucleic Acids, Recombinant DNA and RNA, Gene Regulation, Nucleic Acid Amplification, Animals and Plants, Combinatorial/ Computational Chemistry 174
2874 Optics 125
1652 Fermentation, Microbiology, Isolated and Recombinant Proteins/Enzymes 113
1633 Molecular Biology, Bioinformatics, Nucleic Acids, Recombinant DNA and RNA, Gene Regulation, Nucleic Acid Amplification, Animals and Plants, Combinatorial/ Computational Chemistry 102

How many patents are Massachusetts Institute Of Technology filing every year?

Year Total Applications Predicted
2022 0* 1264
2021 212* 1148
2020 460 1001
2019 518 518
2018 560 –
2017 476 –
2016 465 –
2015 388 –
2014 476 –
2013 422 –

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Massachusetts Institute Of Technology in USPTO?

Publication number: US20220175938A1
Application number: 17/597,974

Abstract:
The disclosure describes poly(β-thioester) polymers and polymeric nanoparticles, pharmaceutical compositions comprising these materials, their use in the treatment of cancer and infectious disease, and machine learning methods for identifying and selecting them.

Publication date: 2022-06-09
Applicant: Massachusetts Institute Of Technology
Inventors: Hyunjoon Kim

Publication number: US20220209107A1
Application number: 17/627,160

Abstract:
Described are CMOS-compatible protonic resistive devices (e.g., processing elements and/or memory elements). In embodiments, a protonic resistive memory can be formed from a proton-sensitive metal oxide channel where the concentration of protons intercalated inside the layer is controlled to modulate its conductivity. The protons can initially be supplied to the material stack by an implantation method. Irradiation techniques can be implemented to increase the concentration and conductivity of protons inside the materials. Some designs can put the active layer and reservoir in direct contact, creating an electrolyte-free device. Designs provide scalable solutions for full-scale Si-integration.

Publication date: –
Applicant: Massachusetts Institute Of Technology
Inventors: Alamo Del Jesus

Publication number: US20220207218A1
Application number: 17/620,219

Abstract:
Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Publication date: –
Applicant: Massachusetts Institute Of Technology
Inventors: Subra Suresh

How are Massachusetts Institute Of Technology’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/597,974 Poly(Beta-Thioester) Polymers And Polymeric Nanoparticles Application Undergoing Preexam Processing 1615 –
17/627,160 Cmos-Compatible Protonic Resistive Devices Awaiting TC Resp., Issue Fee Not Paid 2824 Leboeuf, Jerome Larry
17/620,219 Machine Learning Techniques For Estimating Mechanical Properties Of Materials Notice of Allowance Mailed — Application Received in Office of Publications 2146 Khan, Iftekhar A
17/614,602 Methods And Compositions For Modulating Immune Responses Docketed New Case – Ready for Examination OPAP Central, Docket
17/455,884 Computer-Controlled Ankle-Foot Prosthesis With Series J-Spring Actuation – OPAP Central, Docket